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The Journal of Neuroscience, July 15, 2000, 20(14):5437-5448
Intrinsic and Extrinsic Contributions to Auditory Selectivity in
a Song Nucleus Critical for Vocal Plasticity
Merri J.
Rosen and
Richard
Mooney
Department of Neurobiology, Duke University Medical
Center, Durham, North Carolina 27710
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ABSTRACT |
The development, maintenance, and perception of learned
vocalizations in songbirds are likely to require auditory neurons that
respond selectively to song. Neurons with song-selective responses have
been described in several brain nuclei critical to singing, but the
mechanisms by which such response properties arise, are modified, and
propagate are poorly understood. The lateral magnocellular nucleus of
the anterior neostriatum (LMAN) is the output of an anterior forebrain
pathway (AFP) essential for learning and maintenance of song, processes
dependent on auditory feedback. Although neurons throughout this
pathway respond selectively to auditory presentation of the bird's own
song, LMAN is the last stage at which responses to this auditory
information could be transformed before being transmitted to vocal
motor areas, where such responses may influence vocal production.
Indeed, previous extracellular studies have indicated that LMAN's
auditory selectivity is greater than that at earlier stages of the AFP.
To determine whether LMAN local circuitry transforms or simply relays
song-related auditory information to vocal control neurons, it is
essential to distinguish local from extrinsic contributions to LMAN's
auditory selectivity. In vivo intracellular recordings
from LMAN projection neurons, coupled with local circuit inactivation,
reveal that much of LMAN's song selectivity is supplied by its
extrinsic inputs, but selective blockade of GABA receptors indicates
that local inhibition is required for the expression of song
selectivity. Therefore, LMAN neurons receive highly song-selective
information, but LMAN's local circuitry can mask these selective
inputs, providing a mechanism for context-dependent auditory feedback.
Key words:
auditory selectivity; song selectivity; birdsong; zebra
finch; LMAN; in vivo; intracellular; local circuitry; inactivation; GABA; bicuculline
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INTRODUCTION |
Auditory responses selective for
communication sounds exist in neurons of many vertebrates, including
primates, bats, frogs, and songbirds (Narins and Capranica, 1976 ;
Margoliash, 1983 ; Rauschecker et al., 1995 ; Esser et al., 1997 ).
Neurons selective for birdsong are among the most well characterized of
these and are widely distributed in songbird brain nuclei that are
important for song production and development (Margoliash, 1983 ;
Williams and Nottebohm, 1985 ; Doupe and Konishi, 1991 ; Vicario
and Yohay, 1993 ; Janata and Margoliash, 1999 ). How this selectivity is
generated, transformed, and/or transmitted by any of these nuclei is
poorly understood. Such knowledge can illuminate how song is
represented in the auditory domain in circuits in which it could
influence vocal learning and perception.
The neural substrate for singing comprises a vocal motor pathway (VMP)
used throughout life and an anterior forebrain pathway (AFP) needed for
juvenile song development and, in some species, auditory maintenance of
adult song (Fig. 1A)
(Nottebohm et al., 1976 ; Bottjer et al., 1984 ; McCasland, 1987 ; Simpson
and Vicario, 1990 ; Williams and Mehta, 1999 ; Brainard and Doupe, 2000 ).
The VMP includes HVc (used as a formal name), the robust nucleus
of the archistriatum (RA), respiratory areas, and hypoglossal
motoneurons innervating the syrinx (Vicario, 1991 ; Wild, 1993a ,b ). The
AFP indirectly links HVc to RA, via area X, the dorsolateral part of
the medial thalamus (DLM), and the lateral magnocellular nucleus of the
anterior neostriatum (LMAN) (Okuhata and Saito, 1987 ; Bottjer et al.,
1989 ). Ultimately RA vocal premotor neurons receive input from HVc and
LMAN axons, providing a cellular site where these pathways could
interact to influence singing (Canady et al., 1988 ; Mooney and Konishi,
1991 ). All of these forebrain nuclei contain neurons that are
song selective, responding more strongly to auditory presentation of
the bird's own song (BOS playback) than to other songs or nonsong
stimuli.

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Figure 1.
Schematics of the song circuit and LMAN.
A, The VMP (white) used in singing
includes HVc, RA, nAM, the vocal motoneurons in nXIIts, and respiratory
premotor neurons in nAM and nRAm. The AFP
(gray) used in auditory-dependent song
development as well as in adult song maintenance includes area X, DLM,
and LMAN. Auditory areas presynaptic to HVc include Ov, field L, and
NIf (dotted); the dashed
line indicates abbreviated ascending auditory
structures. B, The diagram of LMAN's intrinsic and
extrinsic connections shows the experimental protocol. LMAN contains
projection neurons (PN) that innervate area X and
RA and GABAergic interneurons (IN) that innervate
these projection neurons; both cell classes receive excitatory input
from DLM and other LMAN projection neurons. Intracellular recordings
were made from LMAN projection neurons while delivering auditory
stimuli ("song"). In some experiments,
GABAA receptor antagonists or GABA were applied to LMAN via
a puffer pipette positioned immediately dorsal to the nucleus.
DLM, Dorsolateral part of the medial thalamus;
HVc (used as a proper name); L, field L;
LMAN, lateral magnocellular nucleus of the anterior
neostriatum; nAM, nucleus ambigualis;
NIf, nucleus interfacialis; nRAm, nucleus
retroambigualis; nXIIts, tracheosyringeal portion of the
hypoglossal nucleus; Ov, nucleus ovoidalis;
RA, robust nucleus of the archistriatum;
X, area X.
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LMAN's auditory nature is of special interest because this nucleus is
strongly implicated in auditory processes essential to the development,
adult maintenance, and perception of song (Price, 1979 ; Nordeen and
Nordeen, 1992 ; Scharff et al., 1998 ; Leonardo and Konishi, 1999 ). A
purported role for LMAN is to provide auditory feedback to the VMP for
vocal error correction, because LMAN lesions prevent deafening-induced
song degradation (Brainard and Doupe, 2000 ). LMAN is the last stage at
which auditory information could be transformed before influencing the
VMP, and within-bird auditory response comparisons across the AFP
indicate that LMAN may refine less-selective inputs. For example, area
X neurons more frequently respond to noise stimuli than do LMAN neurons (Doupe, 1997 ), suggesting hierarchical refinement along the AFP, similar to that described in other sensory systems (Konishi et al.,
1988 ; Livingstone and Hubel, 1988 ). In songbirds, the heightened selectivity afforded by such refinement could enable greater precision in vocal error correction. Alternatively LMAN's afferents may already
be highly selective, and LMAN may simply relay this information to RA.
In either case, detecting any auditory transformations within LMAN
requires distinguishing extrinsic from intrinsic contributions to the
auditory selectivity of LMAN neurons that innervate RA. Therefore, we
combined in vivo intracellular recordings from LMAN neurons
with auditory stimulation and used reversible inactivation to compare
song-evoked responses with and without local circuit activity.
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MATERIALS AND METHODS |
Subjects. Experiments used adult [95-440 posthatch
days (PHD)] male zebra finches (Taeniopygia guttata) in
accordance with a protocol approved by the Duke University
Institutional Animal Care and Use Committee. Birds were bred and raised
in our colony, housed with their parents until 40 PHD, and then moved
into holding cages of six to eight birds.
Stimuli. Before the experiment, song was recorded from birds
placed in a small recording chamber (Industrial Acoustics, Bronx, NY)
with an adult female to induce them to sing. Songs were recorded and
edited with LabView software (National Instruments, Austin, TX; all
custom software for this study was written by M. Rosen, F. Livingston,
R. Neumann, and R. Balu). Amplified vocalizations from a microphone
were low-pass filtered at 10 kHz, digitized at 20 kHz (National
Instruments data acquisition board AT-MIO-16E2), and stored on a
personal computer (PC). Edited songs included either one or two
exemplary motifs. Presented stimuli always included the BOS,
reversed-syllable BOS (e.g., syllables ABCD presented as DCBA,
perturbing global but not local temporal information), and
reversed BOS (i.e., song played backward, perturbing local and
global temporal order, while maintaining spectral information). Conspecific (another adult male) and heterospecific (male Bengalese finch) song and white noise (a Gaussian-distributed pseudorandom sequence) often were also presented. Stimuli were 1-3 sec in duration.
Preparatory surgery. Two days before electrophysiological
recording, birds were food and water deprived for 1 hr, injected intramuscularly with equithesin (2 mg/kg, i.m.: 0.85 gm of chloral hydrate, 0.21 gm of pentobarbitol, 0.42 gm of
MgSO4, 2.2 ml of 100% ethanol, and 8.6 ml of
propylene glycol brought to a 20 ml final volume with
dH2O), and placed in a stereotaxic device (45° head angle; H. Adams, California Institute of Technology). Lidocaine (2%; 20 µl) was injected subcutaneously, and the scalp was dissected along the midline. LMAN's location was marked using stereotaxic coordinates (5.15 mm rostral and 1.75 mm lateral from the bifurcation of the midsagittal sinus). A stainless steel post was mounted to the
caudal skull with dental cement, the wound was closed with cyanoacrylate, antibiotic was applied, and the bird was kept warm (33°C) until recovery (2-4 hr).
In vivo electrophysiology, song presentation, and drug
application. Immediately before electrophysiological recording,
birds were injected intramuscularly with 20% urethane in
dH2O (75-100 µl total; Sigma, St. Louis, MO)
in 25 µl doses at 30 min intervals. Urethane does not suppress neural
activity and has been used in previous studies for extracellular
characterization of song selectivity in LMAN (Doupe and Konishi, 1991 ).
Birds were immobilized via the mounted post in a sound-attenuating
chamber on an air table (Technical Manufacturing Corporation,
Peabody, MA); temperature was maintained via an electric blanket at
39°C (Harvard Apparatus, Holliston, MA). The scalp was retracted, a
small craniotomy (<500 µm) was made over LMAN, and the dura was removed.
Sharp electrodes (borosilicate glass, BF100-50-10; Sutter Instrument,
Novato, CA) were pulled to 60-125 M when filled with 3 M K-acetate (or in some cases 3 M Cs-acetate),
5% neurobiotin (for histological reconstruction), and in some cases
100 mM QX-314 (a Na+ channel
blocker; Research Biochemicals, Natick, MA). A hydraulic microdrive
(Soma Scientific, Irvine, CA) was used to lower electrodes to the
nucleus (~2000 µm). An AxoClamp 2B intracellular amplifier (Axon
Instruments, Foster City, CA) used in bridge mode recorded intracellular potentials, which were low-pass filtered at 3 kHz, digitized at 10 kHz, and stored on a PC. LMAN neurons were identified on-line by their characteristic spike shape and firing patterns (see
Livingston and Mooney, 1997 ) and later verified histologically. Cells
were tested with auditory stimuli if their resting potentials were
negative of 60 mV and robust spontaneous synaptic activity was
present. In some cases, input resistances and responses to current
pulse injections were collected; both instantaneous and mean (over the
1 sec current pulse) firing rates were calculated in response to
depolarizing currents. All values are reported as the mean ± SEM.
Ten to thirty iterations of each auditory stimulus, delivered at
intervals ranging from 7 to 11 sec, were presented at ~70 dB (rms;
A-weighting) through a speaker 20 cm behind the bird. Peristimulus time
histograms (PSTHs; 25 msec bin width) and median-filtered averaged
membrane potential traces (see below) were computed on-line to allow
immediate assessment of the responsiveness to the various auditory
stimuli and to aid in experimental decisions. As noted in the results
for certain cells, tonic negative or positive currents were injected
through the recording electrode to shift the resting membrane potential
of the cell.
For pharmacological experiments, a second micropipette [10-20 µm
tip; filled with 250 mM GABA (Research Biochemicals)
or 5 mM bicuculline methiodide (Sigma) in 0.9% saline]
was lowered through a second craniotomy to a point slightly
dorsolateral to LMAN. Drugs were pressure-ejected with a Picospritzer
(General Valve, Fairfield, NJ) in 10-200 msec pulses at 40 psi. For
bicuculline treatment, which took 30-90 min to wash out, the pressure
pipette was removed after drug application. After bicuculline
application, LMAN neurons exhibited rhythmic bursting behavior that was
used to assess the drug's effect in subsequent recordings (see Fig. 6). GABA was applied during interstimulus intervals while recording, because it washed out very quickly (10-120 sec). Effectiveness of the
GABA inactivation was assessed during and after the application period
by monitoring changes in spontaneous PSP amplitude, as well as by
monitoring the ability of a positive current pulse to evoke action potentials.
Data analysis. The suprathreshold responsiveness
(RFiringRate) of cells with spiking
activity was calculated by RFiringRate = SFR BFR, where
SFR and
BFR are the firing rates during each stimulus presentation and during a 1.0-1.5 sec baseline period before
each stimulus presentation, respectively. To assess subthreshold responsiveness in spiking cells, raw traces were first median-filtered (each point replaced by the median value of the surrounding 50 points,
equivalent to 5 msec at our sample rate of 10 kHz); this removes very
high-frequency events such as action potentials (which are ~1 msec in
duration) and thus reduces action potential contamination of
subthreshold changes in membrane potential [for an example, see
Jagadeesh et al. (1997) , their Fig. 1]. The subthreshold
responsiveness (Rarea) of both nonspiking
and median-filtered spiking cells was measured by
Rarea = Sarea Barea, where
Sarea and
Barea are the integrals of the
positive-going deviations in Vm from the
mode of the baseline period (which gave a more reliable estimate of the
Vm than did either the median or the mean)
during and before stimulus presentation, respectively. (This method
also detected stimulus-induced hyperpolarization in
Vm, when positive-going deviations from the
mode are larger during baseline than during stimulus, but tended to
underestimate the amplitude of the hyperpolarization.) Average
RFiringRate or
Rarea was computed for 10-30 iterations of stimuli.
To compare suprathreshold and subthreshold responses, response
strengths were expressed as z-scores. The suprathreshold z-score (ZFiringRate) is given by the
difference between the average firing rate during stimulus presentation
and that during a 1.0-1.5 sec baseline period before stimulus
presentation, divided by the SD of this difference:
where FR is the
mean firing rate during the stimulus,
FR is the mean firing
rate during the baseline period, and the denominator is the SD of
SFR BFR. For nonspiking cells and
median-filtered spiking cells, the subthreshold z-score (Zarea) is given by the difference between
the average area during stimulus presentation and that during baseline,
divided by the SD of this difference. The
Zarea formula is the same as that for ZFiringRate with substitutions of
area for FR, where
area is the mean
deviation in Vm (from the baseline mode) during song presentation and area
is the mean deviation in Vm
during baseline; the denominator is the SD of
Sarea Barea.
To quantify each neuron's response strength, the psychophysical
measure d' (Green and Swets, 1966 ), which represents the
discriminability between two stimuli, was used to compare BOS with
reversed-BOS responses. A difference in response to these two stimuli
has been used previously as the criterion for selectivity of neurons in LMAN, as well as in HVc (Solis and Doupe, 1997 ; Theunissen and Doupe,
1998 ). The d' value for the discriminability of the response to BOS versus that to reversed BOS was calculated as:
where d'FiringRate represents
suprathreshold responsiveness and d'area
represents subthreshold responsiveness. is the mean value of
R (as described above), and
2 is its variance. This measure of
selectivity takes into account both the mean and the variance of a
cell's responses. A d' value of 0.7 was used as the
criterion for identifying a cell as "song-selective," that is,
responding more to forward than to reversed BOS; this corresponded to a
significance level of p = 0.036 as measured by a paired
t test comparing Rarea or
RFiringRate values for 20 presentations of
BOS and versus reversed BOS.
For non-BOS stimuli, significance was determined with paired
t tests comparing baseline and stimulus responses at
suprathreshold and subthreshold levels (z-scores); this detected both
"excitatory" and "inhibitory" responses.
Histology. Cells were stained with neurobiotin using
positive currents (750 pA; 500 msec at 1 Hz). After the recording
session, birds were deeply anesthetized with equithesin and
transcardially perfused with 0.9% saline for <5 min, followed by 4%
paraformaldehyde (PFA) in 25 mM sodium phosphate buffer for
~30 min. Brains were removed and post-fixed in 4% PFA with 30%
sucrose overnight, blocked sagittally, and sectioned on a freezing
microtome at 60 µm. Sections were processed using standard techniques
(see Kittelberger and Mooney, 1999 ). Camera lucida drawings were made
using 10× or 63× objectives, and sections were counterstained with
cresyl violet to confirm LMAN's boundaries. The drug-ejection pipette
position was reconstructed by the resultant track and the small space
formed from the ejected bolus of drug.
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RESULTS |
Sharp electrode intracellular recordings were made from 299 LMAN
neurons in 47 adult male zebra finches (Fig. 1B).
LMAN neurons were identified by their spike shapes and responses to
depolarizing currents (Fig.
2B) (Livingston and
Mooney, 1997 ), as well as by intracellular staining. All LMAN neurons
were presented with song stimuli: 236 were "song selective" (either
subthreshold or suprathreshold d' values comparing forward
and reversed song responses were 0.7). The intrinsic and
morphological properties are first described for a subset of these
neurons.

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Figure 2.
Morphological and physiological
characterization reveals that song-selective LMAN neurons are
projection neurons. A, Camera lucida reconstructions
(objective magnification, 63×, left, and 10×,
right) of two song-selective LMAN neurons show that
these cells are spiny projection neurons with bifurcated axons
projecting toward RA and area X and local collaterals within LMAN.
Because of the great distance between LMAN and RA (>4 mm), axons were
rarely completely filled to RA. Reconstructions are in the sagittal
plane; rostral is to the left; dorsal is
up. B, Five traces
(top) are the responses of a song-selective LMAN
projection neuron to injected currents (bottom). Note
the high spontaneous synaptic activity and gradual spike onset and
sharp afterhyperpolarization characteristic of these neurons.
C, The highly linear relationship of firing frequency to
current injection amplitude (n = 49 cells) is
shown. D, Instantaneous firing frequency is plotted as a
function of spike interval number, showing slight accommodation (1 sec
pulses; +600 and +800 pA; n = 49 cells;
dotted lines are linear fits for each current
amplitude). E, Examples of a LMAN projection neuron's
selective response to BOS versus reversed BOS are shown. The 10 traces at the top are raw intracellular
current-clamp records of responses to repeated song stimuli [depicted
as an oscillogram in the lowest trace,
with syllables delineated by letters a-d
(i, introductory notes)]. The plot
immediately below the raw traces is an
action potential PSTH (25 msec bin width), below which
is the median-filtered average Vm showing
underlying subthreshold responses (see Materials and Methods).
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Song-selective LMAN neurons: morphology and
intrinsic properties
Song-selective LMAN neurons had spinous dendrites and bifurcating
axons projecting ventrally to area X and caudally toward RA (Fig.
2A) and were morphologically indistinguishable from
LMAN projection neurons studied in vitro (Livingston and
Mooney, 1997 ; Boettiger and Doupe, 1998 ; Bottjer et al., 1998 ).
Spontaneous and stimulus-evoked action potentials recorded from LMAN
projection neurons in vivo had the gradual spike onset and
sharp spike afterhyperpolarization described in
vitro. Responses to injected currents were collected for a
representative subset of 49 neurons, 30 of which were song selective
(Fig. 2B; mean Vrest = 72 ± 1 mV; n = 299 cells). Input resistances
were lower than those measured in vitro [25 ± 8 vs 90 ± 4 M in vitro (Livingston and Mooney, 1997 )],
likely because of higher in vivo levels of subthreshold and
suprathreshold spontaneous synaptic activity [Fig.
2B vs Livingston and Mooney (1997) , their Fig.
2B]. There was no correlation between input
resistance and song selectivity (r = 0.14;
p = 0.59). Mean firing rates evoked by depolarizing
currents were linear in vivo (Fig. 2C; 46 ± 2 Hz/nA; r = 0.998; p < 0.02), and
spike rate accommodation was visible although less pronounced than
in vitro (Fig. 2D; for +800 pA,
r = 0.65; p < 0.0001; for +600 pA,
r = 0.41; p < 0.02). Interneurons
were not encountered, probably because of electrode-sampling biases.
Song-selective properties
Song-selective responses typical of LMAN projection neurons are
shown in Figure 2E. Individual current-clamp records
(top) showing suprathreshold and subthreshold responses to
forward and reversed BOS playback were used to construct PSTHs
and median-filtered trace averages (bottom). BOS playback
consistently elicited subthreshold depolarizations accompanied by
volleys of action potentials, whereas reversed BOS playback elicited no
consistent subthreshold or suprathreshold responses. Of 299 cells
tested, 183 (78%) displayed selective responses similar to this
example, whereas 52 were nonselective (d' < 0.7). Another
subset of LMAN projection neurons did not fire action potentials
spontaneously or to BOS playback, despite displaying robust spontaneous
synaptic activity (n = 64). However, 53 (83%) of these
"silent" cells still displayed subthreshold selectivity (Materials
and Methods), a percentage similar to that of selective spiking
neurons. As described in extracellular studies (Doupe, 1997 ),
the temporal pattern of responsivity was similar across multiple cells
within individual birds and did not vary as a function of location with
the nucleus (data not shown).
Responses to non-BOS stimuli
Most cells responded only to BOS, but weaker subthreshold and/or
suprathreshold responses to other stimuli were occasionally seen (Fig.
3) and included both excitatory and
inhibitory responses (see Materials and Methods). Reversed-order BOS
frequently elicited excitatory responses (81/236 cells), whereas
inhibition was elicited in only 1 cell. Responses to reversed BOS were
extremely rare (excitatory, 3/236 cells; inhibitory, 13/236 cells), and
excitation consisted only of an onset response. Very few cells
responded to conspecific (excitatory, 8/106; inhibitory, 4/106) or
heterospecific (excitatory, 5/106; inhibitory, 5/106) songs, whereas
white noise elicited more inhibitory (10/35) than excitatory (2/35)
responses. The suprathreshold components of these response properties
are similar to those described in extracellular studies of LMAN (Doupe, 1997 ).

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Figure 3.
Song-selective LMAN neurons rarely exhibited
responses to non-BOS auditory stimuli. A, Proportion of
BOS-responsive cells (n = 236; includes
suprathreshold and/or subthreshold responsivity) that also responded to
other auditory stimuli. Vertical dashed
lines delineate subsets of cells that also received
other stimuli. All 236 cells received reversed order BOS and reversed
BOS, 106 of these cells were also tested with conspecific
(con) and heterospecific (het) song, and
35 of these cells were also tested with white noise. BOS responses were
always excitatory; inhibitory responses occurred to other stimuli,
especially white noise. B1-B4, Examples of the BOS and
non-BOS responses in cells from four birds. Significant (by paired
t test or d'; see Materials and Methods)
excitatory and inhibitory responses to auditory stimuli are indicated
by + and symbols, respectively,
above individual PSTHs or median-filtered trace
averages. Conventions are as described in Figure
2E; cells were presented with 20-30 iterations
of each stimulus.
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Song selectivity: local circuit contributions
In vitro studies have shown afferents to LMAN from DLM
to be excitatory, whereas inhibitory input arises locally from LMAN interneurons (Livingston and Mooney, 1997 ); LMAN projection neuron axon
collaterals also provide excitation to other LMAN projection neurons
and interneurons (Boettiger and Doupe, 1998 ) (Fig.
1B). Determining extrinsic versus local circuit
contributions toward LMAN's selectivity can clarify whether LMAN
synthesizes or refines its auditory output and whether it can gate
these responses to its targets. To this end, the following experiments
were performed: (1) subthreshold and suprathreshold measures of
selectivity were compared to determine whether individual LMAN neurons
could alter their own output, (2) tonic or transient currents were
injected into the cell to detect acoustically evoked local inhibition, (3) LMAN's local inhibitory network was inactivated, and (4) the entire
local LMAN network was inactivated.
Comparison of subthreshold and suprathreshold selectivity
The intracellular approach allows a within-cell comparison of the
selectivity of synaptic inputs with suprathreshold output. In LMAN,
greater suprathreshold than subthreshold selectivity could be evidence
of local refinement at a single-cell level, for example, by a nonlinear
thresholding mechanism (Jagadeesh et al., 1997 ). To compare
subthreshold and suprathreshold song selectivity in single LMAN
neurons, the subthreshold and suprathreshold responses of all cells
(n = 299) were normalized using z-scores (Fig.
4A). BOS responses were
plotted against those from the same cell to reversed BOS, with all
points to the right of the diagonal line indicating a forward song bias. The cumulative
proportion of subthreshold and suprathreshold d' values of
all spiking cells (n = 235) was plotted in Figure
4B. The rightward shift of suprathreshold values
(firing rate) compared with subthreshold values (area) revealed more
cells were selective at a suprathreshold than at a subthreshold level
(Kolmogorov-Smirnov goodness-of-fit test, p < 0.0001); as a population, cells were more highly selective at
suprathreshold than at subthreshold levels
(d'FiringRate = 1.41 ± 0.08;
d'area = 1.13 ± 0.09; paired
t test: p < 0.0001; statistic computed for
all data points shown in Fig. 4E).

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Figure 4.
A population analysis of LMAN projection
neurons reveals equivalent song selectivity at subthreshold and
suprathreshold levels. A, Normalized responses
(z-scores) to BOS are plotted against those to reversed BOS, for both
suprathreshold (firing rate) and subthreshold (area) activity
(n = 299 cells). The points to the
right of the diagonal line
are cells with a bias for forward song. B, The
discrepancy between subthreshold and suprathreshold selectivity for all
spiking cells (n = 235) is plotted as a cumulative
proportion of d' values. The dashed
vertical line indicates the criterion for
significant selectivity (d' = 0.7). C, D,
Scatter plots of suprathreshold and subthreshold d'
values with resting Vm show a significant
negative correlation for area (r = 0.13;
p = 0.027) but no significant correlation for
firing rate (r = 0.05; p = 0.47). E, Suprathreshold versus subthreshold selectivity
for d' values comparing BOS and reversed BOS, for all
cells with spiking activity (n = 235), is shown.
Positive-resting cells (black; n = 125) are less selective at subthreshold than at suprathreshold levels,
whereas negative-resting cells (white;
n = 110) are equally selective at subthreshold and
suprathreshold levels (see Discussion). The diagonal
line represents equal subthreshold and suprathreshold
selectivity. F, The discrepancy between subthreshold and
suprathreshold selectivity exists only for positive-resting
(top) and not negative-resting (bottom)
cells; data from E are plotted as cumulative proportions
of subthreshold and suprathreshold d' values.
G, An example of a cell that exhibited suprathreshold
but not subthreshold selectivity is shown; contrast with the cell
depicted in Figure 2E. The top
trace and inset show a response to one
presentation of BOS; note how the spikes arise from the baseline with
minimal subthreshold EPSPs. Conventions are as described in
Figure 2E. H,
Hyperpolarization (top; n = 26) and
depolarization (bottom; n = 12) of
single cells with tonic current did not alter their firing-rate
selectivity. Consistent with the discrepancy shown in F,
a mismatch between subthreshold and suprathreshold selectivity arose
when cells were more positive resting (gray
bars, top and bottom).
Subthreshold selectivity (area) increased when cells were more negative
resting, although this was only significant for hyperpolarized cells.
d' values from cells with negative-resting potentials
are shown in black, and those with positive-resting
potentials are shown in gray (paired t
tests, *p < 0.05; **p < 0.01).
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One impression was that certain cells displayed large d'
values at a suprathreshold level, with minimal subthreshold change, presumably because their resting membrane potentials were closer to
spike threshold, resulting in small-amplitude EPSPs. Indeed, plots of
firing rate or area versus resting membrane potential revealed a slight
negative correlation between subthreshold selectivity and
Vrest (Fig. 4C,D; r = 0.13; p = 0.027), with no significant correlation
between suprathreshold selectivity and Vrest
(r = 0.05; p = 0.47). To clarify
further that differences in subthreshold versus suprathreshold
selectivity were caused by Vrest and not refinement per se, cells were divided into two subpopulations based on
Vrest [positive vs negative of 74.5 mV to
create subpopulations of approximately equivalent sizes; this value is
near the mean Vrest for the population ( 72
mV)], and d' values for area and firing rate were plotted
against one another for each cell (Fig. 4E). Only
cells in the more positive group (mean Vm = 64.9 ± 0.6, significantly different from the population
Vm, p < 0.0001, paired
t test) showed a significant discrepancy between subthreshold and suprathreshold d' measures
(d'FiringRate = 1.43 ± 0.10;
d'area = 0.82 ± 0.12;
p < 0.0001; n = 125). In contrast, negative-resting cells (mean Vm = 82.0 ± 0.7, significantly different from the population
Vm, p < 0.0001, paired t test) were equally selective by both measures
(d'FiringRate = 1.32 ± 0.11;
d'area = 1.47 ± 0.12;
p = 0.34; n = 110). This discrepancy is
clearly visible when the cumulative proportions of subthreshold and
suprathreshold d' values are plotted for the two
subpopulations (Fig. 4F). This is consistent with the
idea that positive-resting cells have artifactually reduced
d' areal values because song-evoked EPSPs have a decreased
driving force [i.e., they are closer to the reversal potential for
glutamatergic currents as well as to spike threshold (see
Discussion)]. An example of such a positive-resting cell is depicted
in Figure 4G (Vrest = 66 mV);
compare this cell with the more negative-resting cell depicted in
Figure 2E (Vrest = 72 mV),
which has a spike threshold further from rest and thus larger amplitude
EPSPs. These results suggest that subthreshold inputs onto LMAN
projection neurons, intrinsic or extrinsic to LMAN, are as selective as
the output of these cells when probed with forward and reversed BOS.
To test directly whether changing a single cell's membrane potential
could influence its selectivity, tonic hyperpolarizing or depolarizing
currents were injected through the recording electrode. Hyperpolarization (Vrest = 71.4 ± 1.5 mV;
Vhyperpol = 88.4 ± 2.0 mV;
p < 0.0001; n = 26) did not alter
suprathreshold selectivity, although it did significantly increase
subthreshold selectivity (Fig. 4H, top,
within-quadrant comparisons; d'area: rest,
0.71 ± 0.16; hyperpolarized, 1.50 ± 0.27; p < 0.02; d'FiringRate: rest, 1.20 ± 0.15; hyperpolarized, 1.24 ± 0.23; p = 0.87).
This effect on subthreshold selectivity is likely caused by an
increased driving force on song-evoked EPSPs at more negative resting
potentials. Consistent with this idea and with the mismatch between
subthreshold and suprathreshold measures of selectivity described
above, d' measures of subthreshold versus suprathreshold
selectivity only differed for these cells in the more positive state
(Fig. 4H, top; paired t test
for black bars, p = 0.93; paired
t test for gray bars, p = 0.002).
Similarly, paired analyses of cells that were tonically depolarized
(Vrest = 82.0 ± 2.3 mV;
Vdepol = 62.9 ± 5.3 mV; p < 0.0006; n = 12) revealed that d' measures
of subthreshold versus suprathreshold selectivity also only differed
for these cells in the more positive state (Fig. 4H,
bottom; paired t test for gray bars,
p = 0.03; paired t test for black
bars, p = 0.05). Finally, there was no effect of
depolarization on either subthreshold or suprathreshold selectivity
(Fig. 4H, bottom, within-quadrant comparisons; d'area: rest, 1.11 ± 0.24; depolarized, 0.90 ± 0.32; p = 0.55;
d'FiringRate: rest, 1.43 ± 0.15;
depolarized, 1.63 ± 0.24; p = 0.37). (Although
the trend was in the right direction, the lack of a
significant effect on subthreshold selectivity
after depolarization was unexpected. See below for more extreme
depolarization effects on selectivity.) Thus, although membrane
potential could affect subthreshold measures of selectivity, altering
Vm at a single-cell level did not influence
output, as measured by firing-rate selectivity.
Current injection to detect local inhibition
In the song nucleus HVc and the mammalian visual cortex,
selectivity involves pronounced inhibition and excitation (Ferster, 1986 ; Lewicki, 1996 ; Mooney, 2000 ). To test whether inhibition contributes to song selectivity in LMAN, the membrane potential of
song-selective cells was varied to distinguish IPSPs from EPSPs. The
membrane potential of cells dialyzed with cesium and the sodium channel
blocker QX-314 could be shifted to very depolarized values via current
injection (Vrest = 57.1 ± 3.5 mV;
Vdepol = 4.5 ± 4.6 mV; p < 0.0001; Vm = +52 mV;
n = 8 cells), rendering spontaneous IPSPs
hyperpolarizing (Fig. 5A,
arrows) and distinct from EPSPs, which remained
depolarizing. In this tonically depolarized state, selectivity across
these cells (although not for this example) was significantly reduced
but still robust (d'rest = 1.57 ± 0.22; d'depol = 1.05 ± 0.16;
p = 0.04). This is consistent with the population data
in which more positive cells exhibited reduced subthreshold
selectivity. Importantly, no component of the subthreshold response to
forward or reversed BOS was hyperpolarizing (Fig. 5A). This
suggests that the song-evoked synaptic drive to LMAN does not involve
appreciable local GABAergic inhibition.

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Figure 5.
Absence of song and noise-evoked local inhibition.
A, Inhibitory events are not evoked by either forward or
reversed BOS playback. The cell is shown at resting membrane potential
(left) and with tonic depolarizing current injection
(right; recorded with a CsAc/QX-314 electrode to
facilitate depolarization). Top Row,
Traces show spontaneous activity including inhibitory
events (arrows), visible when the cell is strongly
depolarized (Vrest = +5 mV) by tonic current.
Middle, Bottom Rows,
Traces show that inhibitory events are not evoked during
presentation of either forward or reversed BOS [median-filtered
responses at rest (left) and depolarized
(right); song oscillograms (BOS, middle;
BOS reverse, bottom) below each
trace]. For this cell, d' slightly
increased after depolarization, although d' for other
cells and overall decreased significantly (see Results). Conventions in
A and B are as described in Figure
2E. B, Noise-evoked firing-rate
suppression and membrane hyperpolarization were not accompanied by
conductance changes, as measured by trains of hyperpolarizing current
pulses (10 msec; 500 pA; ~20 Hz). This is consistent with a
noise-evoked reduction in tonic excitation rather than an increase in
local inhibition. C, Suprathreshold and subthreshold
responses (z-score firing rate vs area) to white noise are equivalent,
suggesting the absence of thresholding effects to noise stimuli at a
single-cell level (see Results).
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Although song-evoked inhibition was not detected, LMAN has been
distinguished from earlier stages of the AFP (i.e., area X) by
firing-rate suppression to noise stimuli (Doupe, 1997 ). The noise-evoked inhibitory responses seen here included membrane hyperpolarization in addition to firing-rate suppression (e.g., Fig.
3B3), which could reflect either local inhibition or reduced tonic excitatory drive, processes that should involve large increases or small decreases, respectively, in membrane conductance (see Discussion). To distinguish between these two possibilities, we assessed input resistance by monitoring responses to noise versus silence while injecting trains of short hyperpolarizing currents [10
msec duration; 500 pA; ~20 Hz (cf. Jan et al., 1980 )]. Input resistance, as measured by current-induced voltage deflection, increased slightly but not significantly during noise presentation (Fig. 5B; Vm baseline = 14.88 ± 3.39 mV; Vm noise = 15.08 ± 3.31 mV; paired t test, p = 0.43; n = 9 cells in 5 birds), suggesting that
hyperpolarization and reduced firing rate reflect reduced tonic
excitatory drive. Finally, comparisons of subthreshold versus
suprathreshold response measures (z-scores) to white noise showed
equivalent responsiveness (Fig. 5C; paired t
test, p = 0.45; n = 41 cells), implying
that nonlinear mechanisms at the single-cell level are unlikely to
underlie hyperpolarizing responses to white noise.
Inactivation of LMAN's local inhibitory network
The apparent lack of stimulus-evoked inhibition in LMAN was
curious, because of LMAN's robust inhibitory circuitry (Livingston and
Mooney, 1997 ; Boettiger and Doupe, 1998 ; Bottjer et al., 1998 ). Thus,
the local inhibitory network's role in song selectivity was directly
examined by removing local inhibition via pressure ejection of
bicuculline methiodide (BMI) onto the nucleus. This caused LMAN neurons
to burst rhythmically (Fig.
6A, middle)
and also depolarized them (Fig. 6C;
Vrest BMI = 64.5 ± 4.2 mV;
washout = 74.6 ± 4.2 mV; paired t test,
p < 0.01; n = 10). Over 1 to several
hours, the bursting dissipated, suggesting BMI washout (Fig.
6A, right). The song selectivity of 10 LMAN neurons (in six birds), impaled immediately after BMI application
when LMAN was strongly disinhibited, was measured during and after
recovery from BMI (seven cells were recorded with QX-314-containing
electrodes to minimize action potential contamination of subthreshold
responses). In 7 of 10 cells, selectivity was absent during
disinhibition but emerged during washout (Fig. 6B,C;
in 2/7 cells recorded without QX-314, both firing-rate and subthreshold
selectivity emerged only after washout). Furthermore, the 3 other LMAN
neurons that were selective in BMI were dramatically more selective
after washout; across all cells, selectivity significantly increased
after washout (Fig. 6C; d'area
BMI = 0.46 ± 0.27; washout = 1.87 ± 0.37; paired t test, p < 0.0001). Although subthreshold
d' increases may be caused by more negative resting
potentials after washout, firing-rate selectivity, which is not
sensitive to resting potential (see above), also increased after
washout (Fig. 6C, black arrows;
d'BMI = 0.36 ± 0.36 mV;
d'washout = 1.79 ± 0.58 mV; paired
t test, p = 0.03; n = 3).
These results indicate that the local inhibitory network is needed to
maintain selectivity in LMAN.

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Figure 6.
The local inhibitory network within LMAN is needed
to maintain a high degree of song selectivity. A,
Spontaneous activity was recorded sequentially in two cells from a
single bird, one before BMI application (pre) and
the other afterward (post), first when
BMI-induced bursting activity was evident (0.5 hr) and then after
washout when bursting had ceased (2 hr; QX-314 was used in the second
recording). This comparison across two cells is possible because all
cells within a single bird exhibited similar temporal response profiles
to song. B, Although significant responses to BOS were
present only before BMI application and after washout, peaks in the
averaged traces during BMI-induced disinhibition often
coincided with song-induced peaks in the control condition
(arrows; cells and times as described in
A). C, d' measures of
selectivity during and after BMI treatment are plotted as a function of
Vrest (n = 10 cells; 3 spiking cells
indicated with black and gray
arrows; 7 QX-314 cells indicated with
gray arrows only).
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Inactivation of LMAN's entire local network
In several BMI-treated cells that were statistically nonselective,
responses often matched the temporal profile of selective responses
displayed after washout (Fig. 6B, arrows).
This could reflect that highly selective extrinsic afferents to LMAN
are masked by the recurrent excitation exhibited by the disinhibited circuit. To measure the selectivity of these extrinsic inputs directly,
the entire local circuit was inactivated with GABA while intracellularly recording from LMAN projection neurons during song
playback. GABA-induced electrophysiological inactivation is assumed to
reflect the shunting of positive currents via activated Cl conductances, thus preventing cells
from spiking. Inhibitory interneurons were presumed to be inactivated
in this way by GABA application, because they are likely to contain
GABA receptors; any remaining activity would in any case be
ineffective, because their postsynaptic GABAergic actions on LMAN
projection neurons would be occluded by excess GABA. Inactivation of
LMAN projection neurons was confirmed by passing large positive
currents (+1 nA) through the recording electrode and noting that the
cell failed to fire action potentials (Fig.
7B, middle; compare
PSTHs in GABA with those before and after treatment; see Fig.
2B for control responses to similar currents). The
spatial extent of inactivation was assessed by intracellularly staining
GABA-silenced cells in disparate locations across LMAN while ejecting
fixed amounts of GABA from a single location (see Fig. 7A).
These measurements indicated that the entire extent of LMAN was
inactivated during GABA application.

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Figure 7.
Silencing local LMAN circuitry with GABA reveals
persistently song-selective extrinsic inputs. A, GABA
treatment inactivated the entire extent of LMAN, as indicated by
examples from two birds (cases 1, 2). All
stained LMAN neurons shown were silenced by GABA application
(dark spots above LMAN
mark the drug bolus from the stationary pipette). B,
LMAN neurons maintained selective subthreshold responses when the local
circuit was inactivated with GABA. Selective subthreshold and
suprathreshold responses to BOS versus reversed BOS (data not shown,
but see C) are visible pre- and post-GABA. Although no
spontaneous, song- or DC-evoked spiking occurred during GABA
application, the same cell maintained selective subthreshold responses
despite a greatly reduced amplitude of synaptic activity. Positive
currents (+1 nA; 0.5 sec) injected after each playback evoked action
potentials before and after GABA treatment but only small
depolarizations in GABA. d' values compare BOS
(depicted) with reversed BOS (data not shown) responses. The
bottom row depicts the timing of song
playback and current injection. C, Normalized
song-evoked responses from B reveal similar shapes and
time courses of BOS responses with and without local circuit activity.
The two traces on the
right contrast forward and reversed BOS responses in
GABA (d' = 1.18). The vertical scale bar
on the right (1 mV) applies to middle and
right panels. Vertical
dotted lines in B and
C mark the onset of song-evoked response from the
leftmost trace (pre-GABA).
L, Lateral; M, medial;
N/A, not available; R, rostral;
V, ventral.
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Before, during, and after GABA application, forward and reversed BOS
were delivered to assess selectivity, and positive currents were
applied to monitor inactivation and recovery. As GABA took effect,
cells hyperpolarized slightly (VGABA, 77.8 ± 1.8 mV; Vwash, 73.7 ± 1.7 mV; paired
t test, p < 0.005), spontaneous PSP
amplitudes decreased markedly, and the impaled cell ceased to spike
when injected with positive currents. All 13 LMAN neurons tested were
song selective after this inactivating treatment (of the three cells
measured before GABA application, all were selective; d'pre-GABA = 2.82 ± 1.31), and all
became refractory to spiking during GABA application. In each case,
however, BOS playback evoked very small (<2 mV) depolarizations in the
absence of local circuit activity (Fig. 7B,
middle), the time course of which resembled BOS-evoked
depolarizations seen in control conditions (Fig. 7C, left, middle). In 12 of the 13 cells, selective
responses were maintained but reduced in the absence of local circuit
activity (Fig. 7C, compare middle,
right; d'GABA = 1.16 ± 0.16; d'washout = 1.91 ± 0.31; paired
t, p < 0.05). These results indicate that extrinsic
afferents to LMAN are highly selective for forward over reverse song
but may be amplified by local LMAN circuitry.
 |
DISCUSSION |
The present study shows that the LMAN neurons that directly
innervate vocal premotor areas (Mooney, 1992 ; Yu and Margoliash, 1996 )
are highly song selective and thus are positioned to provide auditory
information to vocal control circuits (i.e., the VMP). Direct
comparisons of subthreshold and suprathreshold selectivity indicate
that selectivity is not augmented by individual LMAN neurons. Along
with an absence of song- or noise-evoked local inhibition, these
results suggest that LMAN is not a site of auditory refinement.
Instead, local inactivation experiments reveal that the extrinsic
afferents are already highly tuned to the bird's own song but that the
local circuit is capable of masking persistently selective extrinsic
inputs and thus could alter the relay of auditory information to the VMP.
Intracellular staining and histological reconstruction reveal that
song-selective LMAN neurons are projection neurons with spinous
dendrites and bifurcated axons that innervate both area X and RA, as
well as ramifying locally. LMAN projection neurons recorded in
vivo differed slightly from their in vitro counterparts (Livingston and Mooney, 1997 ) in exhibiting a lower input resistance, likely because of higher spontaneous synaptic activity of the intact
brain. Additionally, spike rate accommodation was not as pronounced
over long durations in vivo (~1 sec), although it was still dramatic over the first several spike intervals, suggesting that
it could influence the cell's firing rate in response to synaptic
potentials that are typically of short duration. Establishing that LMAN
projection neurons are song selective links the detailed in
vitro characterization of these neurons' synaptic connectivity with the extensive in vivo extracellular characterization of
song selectivity in LMAN (Doupe, 1997 ). Therefore, song-selective LMAN neurons receive exclusively excitatory glutamatergic input from the
thalamic nucleus DLM, as well as glutamatergic inputs from other LMAN
projection neurons and GABAergic inputs from LMAN interneurons (Vates
and Nottebohm, 1995 ; Livingston and Mooney, 1997 ; Boettiger and Doupe,
1998 ). Ultimately, song-selective LMAN neurons are anatomically
positioned to influence their own response properties, as well as to
provide auditory feedback to premotor areas used in singing.
Indeed LMAN must be intact to permit the changes in adult song
structure that normally occur when the tracheosyringeal nerve is
sectioned or the bird is deafened, two perturbations that create a
mismatch between intended vocal output and auditory feedback (Williams
and Mehta, 1999 ; Brainard and Doupe, 2000 ). Such an error correction
role for LMAN also has been invoked to explain the severely disruptive
effects of LMAN lesions on song development (cf. Bottjer et al., 1984 ;
Mooney, 1992 ; but see Kittelberger and Mooney, 1999 ). Because of its
putative role in providing auditory feedback for song learning and
adult song maintenance, LMAN has been the site of intensive
extracellular electrophysiological analysis of song-evoked auditory
responses (Doupe and Konishi, 1991 ; Doupe, 1997 ; Solis and Doupe,
1997 ). These previous studies have not determined whether LMAN is a
site at which song-selective properties are synthesized anew, is the
locus of further refinement of less-selective afferents, or is simply a
relay for already highly refined and song-selective input.
Arguing against LMAN as a site where song selectivity arises,
anatomical studies (Vates et al., 1996 ) suggested that LMAN's primary
and perhaps exclusive source of auditory input arises indirectly from
HVc, via area X and DLM, and extracellularrecordings showed that
certain DLM neurons are song selective (Doupe and Konishi, 1991 ).
However, the lack of an extensive analysis of DLM song
selectivity left unclear the detailed selectivity of LMAN's extrinsic
inputs. In this study, local inactivation using GABA reveals that
extrinsic inputs onto LMAN neurons are highly selective for BOS,
excluding LMAN as a site of de novo synthesis of song
selectivity and showing that neither local collateral activity nor
feedback to area X are needed to sustain song-evoked responses in LMAN.
Although selectivity persisted in GABA, it did decrease significantly,
suggesting that LMAN's local circuitry may amplify the existing song
selectivity from extrinsic sources. However, the diminution of
song-evoked responses remaining in GABA (<1 mV) to a level close to
the limitations in the resolution of the recording technique make it
difficult to assign the selectivity decrease unequivocally to the
removal of the local circuit.
Previous studies have suggested an auditory refinement role for LMAN
(Maekawa and Uno, 1996 ; Doupe, 1997 ). Although area X and LMAN
both respond to BOS, area X is more responsive to tone and noise bursts
than is LMAN and, unlike LMAN, is never inhibited by such stimuli
(Doupe, 1997 ). This difference might arise from refinement in LMAN, but
refinement may also occur earlier in the AFP. The present experiments
reveal slightly higher d' measures of selectivity for firing
rate than for area in single LMAN neurons, but this mismatch is most
readily explained by the decreased driving force on underlying evoked
synaptic potentials in those cells with resting potentials close to the
glutamate reversal potential. This view is further supported by the
absence of such a mismatch in cells with more negative
Vrest and by the lack of changes in firing-rate
selectivity induced by altering Vm. These data indicate that refinement does not occur at the level of single LMAN neurons. This is in contrast with some neurons in HVc, which show
a mismatch between subthreshold and suprathreshold selectivity and in
which Vm manipulations reveal a refinement
of suprathreshold selectivity (Mooney, 2000 ).
Further evidence against a refinement role for LMAN is the absence of
any detectable inhibitory component in responses to either forward or
reversed BOS, as might be expected if the local inhibitory network
further sculpted BOS responses or suppressed responses to reversed BOS.
This lack of inhibition is surprising, because electrical stimulation
of DLM axons readily activates feedforward inhibition in LMAN in
vitro (Livingston and Mooney, 1997 ). Here, inactivation
experiments show that LMAN projection neurons are highly responsive to
GABA in vivo and also reveal that occluding GABA receptors
in LMAN fails to alter the time course of song-evoked responses.
Therefore, in contrast with HVc, where inhibition may sharpen the
timing of song-evoked responses (Lewicki, 1996 ; Mooney, 2000 ),
song-evoked responses in LMAN are not appreciably refined by
inhibition. Inhibition in LMAN has been implicated in shaping the
responses to nonsong stimuli such as white noise, because responses to
these stimuli are seen less frequently in LMAN than in area X and even
then usually involve firing-rate suppression, suggestive of inhibitory
influences (Doupe, 1997 ). The present results show that this
firing-rate suppression is accompanied by hyperpolarization in LMAN
neurons. The absence of conductance changes associated with this
hyperpolarization suggests that it arises via reduced tonic excitatory
drive, rather than local inhibition, because GABA-mediated inhibition
would be expected to involve a large conductance increase.
Additionally, there is a close match between LMAN's subthreshold and
suprathreshold tuning to white noise stimuli, indicating that nonlinear
mechanisms at the level of single LMAN projection neurons are unlikely
to shape these responses. In summary, the present study strongly suggests that LMAN circuitry relays and possibly amplifies highly song-selective auditory afferents, rather than refining less-selective extrinsic inputs.
The present results do show that LMAN local circuitry may act to gate
song-evoked responses to RA and area X. First, a subset (53/236) of
selective LMAN neurons exhibited only subthreshold responses to song,
indicating that not all LMAN neurons transmit song-selective
information to their postsynaptic targets. The suppression of spiking
in these neurons could reflect a local circuit influence. Second, the
local inhibitory circuit is needed to maintain a high degree of
selectivity in LMAN. Bicuculline treatment induced rhythmic bursting,
likely because of disinhibition of a robust recurrent excitatory
network formed by the local axon collaterals of LMAN projection neurons
(Livingston and Mooney, 1997 ; Boettiger and Doupe, 1998 ; Bottjer et
al., 1998 ). In this disinhibited state, song selectivity is
dramatically reduced, consistent with intrinsic excitation masking
persistently selective extrinsic inputs. Although bicuculline treatment
is nonphysiological, endogenous factors that affect inhibitory tone
within LMAN could be crucial to gating song-selective information to
its postsynaptic targets. Such factors may include neuromodulators,
which in the mammalian lateral geniculate nucleus can potently affect
inhibitory tone and thus alter the gating of retinal signals to the
visual cortex (Pape and McCormick, 1990 ). In both HVc and RA, song
playback-evoked responses can be augmented under certain anesthetics
and during sleep, suggestive of neuromodulatory influences on auditory
responsiveness. Moreover, direct evidence exists for neuromodulatory
gating of these auditory responses; application of norepinephrine to
HVc of anesthetized birds can suppress song-selective responses in RA,
while leaving those in HVc intact (Dave et al., 1998 ). In LMAN,
neuromodulators may also be important for gating song-related auditory
information to RA. Candidate neuromodulators include catecholamines,
whose regulatory enzymes are developmentally modulated in LMAN (Soha et
al., 1996 ; Mello et al., 1998 ), which could ultimately affect LMAN's
ability to influence RA during sensorimotor learning. In the adult, a
behavioral regulator of LMAN excitability that hints at neuromodulatory
influences is social context; spontaneous and singing-related
electrical activity and activity-dependent gene expression in LMAN
strongly depend on whether or not the song is directed toward another
bird (Jarvis et al., 1998 ; Hessler and Doupe, 1999 ). In states other
than those studied here, LMAN may play an active role in shaping song
selectivity. For example, birds producing an abnormal song via
tracheosyringeal nerve transection exhibit BOS responses in area X but
not LMAN (Solis and Doupe, 2000 ), suggesting that LMAN may gate or mask
song-selective afferents. Also, because LMAN neurons display
singing-related motor activity (Hessler and Doupe, 1999 ), it is
possible that LMAN's local circuit might modify afferent motor or
auditory activity differently in a motor context. Therefore, it will be
important to determine whether neuromodulators affect the gating of
LMAN's thalamic inputs, for example, by changing inhibitory tone, thus
altering LMAN's ability to provide auditory or motor information to RA
either during development or in different behavioral contexts.
 |
FOOTNOTES |
Received Nov. 23, 1999; revised April 17, 2000; accepted April 17, 2000.
This research was supported by National Institutes of Health Grant R01
DC 02524 and by McKnight, Klingenstein, and Sloan Foundation awards to
R.M. We thank T. Tucker, D. Feldman, D. Fitzpatrick, and members of the
Mooney lab for providing thoughtful comments on previous versions of
this manuscript and Dr. Jose Manuel Alonso for helpful suggestions
concerning GABA inactivation.
Correspondence should be addressed to Dr. Richard Mooney, Department of
Neurobiology, Box 3209, Duke University Medical Center, Durham, NC
27710. E-mail: mooney{at}neuro.duke.edu.
 |
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